Journal Article

FZJ-2022-01770

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Role of the filter functions in noise spectroscopy

Pozza, N. D. (Corresponding author) ; Gherardini, S. ; Müller, M.FZJ* ; Caruso, F.

2019
World Scientific Singapore [u.a.]

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Please use a persistent id in citations: http://hdl.handle.net/2128/30984  doi:10.1142/S0219749919410089

Abstract: The success of quantum noise sensing methods depends on the optimal interplay between properly designed control pulses and statistically informative measurement data on a specific quantum-probe observable. To enhance the information content of the data and reduce as much as possible the number of measurements on the probe, the filter orthogonalization method has been recently introduced. The latter is able to transform the control filter functions on an orthogonal basis allowing for the optimal reconstruction of the noise power spectral density. In this paper, we formalize this method within the standard formalism of minimum mean squared error estimation and we show the equivalence between the solutions of the two approaches. Then, we introduce a nonnegative least squares formulation that ensures the nonnegativeness of the estimated noise spectral density. Moreover, we also propose a novel protocol for the design in the frequency domain of the set of filter functions. The frequency-designed filter functions and the nonnegative least squares reconstruction are numerically tested on noise spectra with multiple components and as a function of the estimation parameters.

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Contributing Institute(s):

1. Quantum Control (PGI-8)

Research Program(s):

1. 5221 - Advanced Solid-State Qubits and Qubit Systems (POF4-522) (POF4-522)
2. ASTERIQS - Advancing Science and TEchnology thRough dIamond Quantum Sensing (820394) (820394)

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Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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